Satellite-Based Monitoring of Subsidence Ground Movement Impacting Pipeline Integrity
Bibliographic record
Abstract
Ground movements due to a range of governing mechanisms are recognized to pose hazards to the operating integrity of pipelines in California. As part of an extensive technology management program, Southern California Gas Company (SoCalGas) is involved in the development and implementation of satellite-based monitoring of subsidence ground movements impacting pipeline integrity. By both hosting a Gas Technology Institute (GTI) and Pipeline Research Council International (PRCI) study and undertaking an internal study, SoCalGas is supporting the investigation of two aspects of this promising pipeline integrity management technology. The current project of monitoring ground subsidence due to oil production in the San Joaquin Valley utilizes synthetic aperture radar (SAR) to derive sub-centimeter ground movement measurements from February to September, 2001. The estimates of the subsidence derived from the SAR data are compared with GPS survey results taken at 65 monuments. In addition, archived SAR data from 1992 to 2000 are used to better estimate the movement that has occurred there over the past decade.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".